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IEEE Conference on Decision and Control

作者： Daniel Coutinho Minyue Fu Carlos E. de Souza Group of Automation and Control Systems Faculty of Engineering Pontifícia Universidade Católica do Rio Grande do Sul Porto Alegre Brazil School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW Australia Department of Systems and Control Laboratory Nacional de Computação Científica Petropolis Rio de Janeiro Brazil

ISBN: (纸本)9781424431236

A considerable amount of research has been done on the use of logarithmic quantizers for networked feedback control systems. However, most results are developed for the case of a single quantizer (either measurement or control signal quantization). In this paper, we investigate the case of simultaneous input and output quantization for SISO linear output feedback systems. Firstly, we show that the problem of quadratic stabilization via quantized feedback can be addressed with no conservativeness by means of the sector bound approach. Secondly, we provide a bound on the maximal admissible sector bound via a scaled H ¿ optimization problem.

关键词： Output feedback Linear feedback control systems Control systems Linear systems Quantization Communication system control Feedback control Communication channels Digital control Bandwidth

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Spirometer and sEMG respiratory patterns for clinical decision support system

Spirometer and sEMG respiratory patterns for clinical decisi...

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IEEE Instrumentation and Measurement Technology Conference

作者： Amit Krishan Kumar Mansour H. Assaf Voicu Z. Groza Emil M. Petriu Faculty of Electrical-Electronic Engineering Duy Tan University Da Nang Vietnam Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing China School of Information Technology Engineering Mathematics and Physics The University of the South Pacific Suva Republic of Fiji School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

To improve support system for subjects with respiratory ailments, this work analyses the respiratory patterns from spirometer and surface electromyography (sEMG). The patterns are integrated with risk and biochemical systems model to optimise the clinical decision support system (CDSS). The work considers terminal events for the spirometer and sEMG. The events and their associated patterns are correlated and projected on a hyperspace prior implementing it in decision support system. The proposed method shows that the different characteristics of breathing indicate some essential hidden information which when used as 4D scattered projection, optimises the decision making in CDSS. The analysis shows the effectiveness of bimodal respiratory patterns for different breathing capacities, which is promising for the modelled conditions.

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The European R&D-project MORPH: Marine robotic systems of self-organizing, logically linked physical nodes

The European R&D-project MORPH: Marine robotic systems of se...

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9th IFAC Conference on Manoeuvring and Control of Marine Craft, MCMC 2012

作者： Kalwa, J. Pascoal, A. Ridao, P. Birk, A. Eichhorn, M. Brignone, L. Caccia, M. Alves, J. Santos, R.S. ATLAS ELEKTRONIK GmbH Bremen Germany Institute of Robotics of the Instituto Superior Técnico Lisbon Portugal Universiat de Girona Girona Spain Jacobs Universität Bremen Bremen Germany Ilmenau University of Technology Faculty of Computer Science and Automation Ilmenau Germany Institut Français de Recherche Pour l'Exploitation de la Mer La Seyne sur Mer France Consiglio Nazionale Delle Ricerche Istituto di Studi sui Sistemi Intelligenti per l'Automazion Genova Italy NATO Undersea Research Centre La Spezia Italy Instituto Do Mar Horta Portugal

ISBN: (纸本)9783902823601

The MORPH project (FP 7, 2012-2016) advances the novel concept of an underwater robotic system composed of a number of spatially separated mobile robot-modules, carrying complementary resources. Instead of being physically coupled, the modules are connected via communication links that rely on the flow of information among them, i. e. inter-module interactions are enabled by underwater communication networks at distant and close ranges and supported by visual perception at very close range. Without rigid links, the MSV can reconfigure itself and adapt in response to the shape of the terrain, including walls with negative slope. The MORPH concept requires qualitatively new behaviors such as adaptive sensor placement for perception and navigation, as well as environmental modeling in complex environments. On site view planning will lead to a solution well beyond the operational state of the art for underwater cliff surveys and other similar missions. A final demonstration on a vertical cliff, unfeasible automatically with today's technology, will validate the efficacy of the methods developed at the end of the project. © IFAC.

关键词： Robots

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Algorithm of control of functionally stable manufacturing processes of enterprises 2

Algorithm of control of functionally stable manufacturing pr...

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2nd IEEE International Conference on Advanced Trends in Information Theory, ATIT 2020

作者： Sobchuk, Valentyn Pichkur, Volodymyr Barabash, Oleg Laptiev, Oleksandr Igor, Kovalchuk Zidan, Amina State University of Telecommunications Technical Sciences Department of Higher Mathematics Kyiv Ukraine Taras Shevchenko National University of Kyiv Faculty of Computer Science and Cybernetics Physical and Mathematical Sciences Department of Complex Systems Modeling Kyiv Ukraine National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Technical Sciences Department of Design Automation for Energy Processes and Systems Kyiv Ukraine State University of Telecommunications Technical Sciences Kyiv Ukraine Lesya Ukrainka Eastern European National University in Volyn Candidate of Physical and Mathematical Sciences Department of Mathematical Analysis and Statistics Lutsk Ukraine State University of Telecommunications Kyiv Ukraine

ISBN: (纸本)9781728197999

The article analyzes the concept of process control at an industrial enterprise, ensuring the functional stability of technological processes. A novelty of the proposed model is the use of pseudo- inversion tools as an apparatus that provides the best solution of a system of algebraic equations, the parameters of which describe the technological process. The algorithm for the organization and planning of technological processes is offered. With the help of pseudo-inversion the control algorithm for functionally stable technological process of the production enterprise is constructed. © 2020 IEEE.

关键词： Process control

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Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation

Introducing Shape Prior Module in Diffusion Model for Medica...

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IEEE International Conference on Mechatronics, Robotics and automation (ICMRA)

作者： Zhiqing Zhang Guojia Fan Tianyong Liu Nan Li Yuyang Liu Ziyu Liu Canwei Dong Shoujun Zhou Shenzhen Institute of Advanced Technology University of Chinese Academy of Sciences Shenzhen China College Of Information Science and Engineering Northeastern University (Of Affiliation) Shenzhen China College Of Geosciences Northeast Petroleum University Shenzhen China Department of Computer Science City University of Hong Kong Shenzhen China Shenyang Institute of Automation University of Chinese Academy of Sciences Shenzhen China Faculty of Science and Engineering Chinese Academy of Sciences University of Nottingham Ningbo China Ningbo China College Of Information Science And Engineering Northeastern University (Of Affiliation) Shenzhen China

ISBN: (数字)9798350307535

ISBN: (纸本)9798350307542

Medical image segmentation is critical for diagnosing and treating spinal disorders. However, the presence of high noise, ambiguity, and uncertainty makes this task highly challenging. Factors such as unclear anatomical boundaries, inter-class similarities, and irrational annotations contribute to this challenge. Achieving both accurate and diverse segmentation templates is essential to support radiologists in clinical practice. In recent years, denoising diffusion probabilistic modeling (DDPM) has emerged as a prominent research topic in computer vision. It has demonstrated effectiveness in various vision tasks, including image deblurring, super-resolution, anomaly detection, and even semantic representation generation at the pixel level. Despite the robustness of existing diffusion models in visual generation tasks, they still struggle with discrete masks and their various effects. To address the need for accurate and diverse spine medical image segmentation templates, we propose an end-to-end framework called VerseDiff-UNet, which leverages the denoising diffusion probabilistic model (DDPM). Our approach integrates the diffusion model into a standard U-shaped architecture. At each step, we combine the noise-added image with the labeled mask to guide the diffusion direction accurately towards the target region. Furthermore, to capture specific anatomical a priori information in medical images, we incorporate a shape a priori module. This module efficiently extracts structural semantic information from the input spine images. We evaluate our method on a single dataset of spine images acquired through X-ray imaging. Our results demonstrate that VerseDiff-UNet significantly outperforms other state-of-the-art methods in terms of accuracy while preserving the natural features and variations of anatomy. The generality and validity of our proposed model are confirmed through extensive experiments. By enabling more precise segmentation of anatomical structures, our framew

关键词： Image segmentation Visualization Accuracy Shape Semantics Noise reduction Anatomical structure Diffusion models Probabilistic logic X-ray imaging

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The European R&D-project MORPH: Marine robotic systems of self-organizing, logically linked physical nodes

The European R&D-project MORPH: Marine robotic systems of se...

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3rd IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles, NGCUV 2012

作者： Kalwa, J. Pascoal, A. Ridao, P. Birk, A. Eichhorn, M. Brignone, L. Caccia, M. Alvez, J. Santos, R.S. ATLAS ELEKTRONIK GmbH Bremen Germany Institute of Robotics of the Instituto Superior Técnico Lisbon Portugal Universiat de Girona Girona Spain Jacobs Universität Bremen Bremen Germany Ilmenau University of Technology Faculty of Computer Science and Automation Ilmenau Germany Institut Français de Recherche Pour l Exploitation de la Mer La Seyne sur Mer France Consiglio Nazionale delle Ricerche Istituto di Studi Sui Sistemi Intelligenti Per l' Automazion Genova Italy NATO Undersea Research Centre La Spezia Italy Instituto do Mar Horta Portugal

ISBN: (纸本)9783902823199

关键词： Robots

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EU project MORPH: Current status after 3 years of cooperation under and above water 4

EU project MORPH: Current status after 3 years of cooperatio...

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4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles, NGCUV 2015

作者： Kalwa, J. Pascoal, A. Ridao, P. Birk, A. Glotzbach, T. Brignone, L. Bibuli, M. Alves, J. Silva, M.C. ATLAS ELEKTRONIK GmbH Bremen Germany Institute of Robotics Instituto Superior Técnico Lisbon Portugal Universiat de Girona Girona Spain Jacobs Universität Bremen Bremen Germany Ilmenau University of Technology Faculty of Computer Science and Automation Ilmenau Germany Institut Français de Recherche pour l'Exploitation de la Mer La Seyne sur Mer France Consiglio Nazionale delle Ricerche Istituto di Studi Sui Sistemi Intelligenti per l'Automazion Genova Italy NATO Undersea Research Centre La Spezia Italy Instituto do Mar Morta Portugal

The MORPH project (FP 7, 2012-2016) advances a novel concept of an underwater robotic system composed of a number of spatially separated mobile robot-modules, carrying complementary resources. Instead of being physically coupled, the modules are connected via communication links that allow a limited flow of information among them. Without rigid links, the so called Morph Supra-Vehicle can reconfigure itself and adapt in response to the shape of the terrain, including walls with negative slope. The MORPH concept requires new concepts in a number of technological fields. Examples are adaptive sensor placement for perception and navigation or environmental modeling in complex environments. As the project enters its final year the basic developments have been achieved. It is still a huge effort to create a system out of components which can be perceived as a supra-vehicle. This paper focuses on a presentation of the current state. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Vehicles

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Application of Infrared Spectroscopy for Discrimination Between Electrical and Thermal Faults in Transformer Oil

Application of Infrared Spectroscopy for Discrimination Betw...

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2022 9th International Conference on Condition Monitoring and Diagnosis (CMD)

作者： Mohamed M. F. Darwish Mohamed H. A. Hassan Nagat M. K. Abdel-Gawad Diaa-Eldin A. Mansour Department of Electrical Engineering Faculty of Engineering at Shoubra Benha University Cairo Egypt Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland Department of Electrical Power Engineering School of Electronics Communications and Computer Engineering Egypt-Japan University of Science and Technology (E-JUST) New Borg El-Arab City Alexandria Egypt Department of Electrical Power and Machines Engineering Faculty of Engineering Tanta University Tanta Egypt

ISBN: (数字)9784886864314

ISBN: (纸本)9781665470155

Power transformer diagnostics and condition assessment are essential measures to increase the transformer's lifetime. In this regard, the dissolved gas analysis (DGA), the most common method worldwide in predicting the incipient faults in the transformer, is applied. Recently, the optical spectroscopy methods have attracted most of the attention towards effective monitoring of the state of power transformer insulation. Therefore, in this paper, Fourier Transform Infrared (FTIR) spectroscopy was employed to discriminate between the electrical and thermal faults that frequently happen in oil insulation. Regarding the electrical fault, it was simulated by applying repeated high voltage impulses to a fresh oil sample while the thermal fault was imitated through a localized overheating in another fresh oil sample with the help of a heating coil. Firstly, the two samples were examined via FTIR spectroscopy to obtain their FTIR spectra. Then, the effect of ageing on the spectrum was studied comprehensively for determining the degree of deterioration as well as any change that happen in the concentration or structure of the oil molecules. After that, both of them were analyzed by DGA to measure the concentration of the dissolved gases in the oil in order to confirm the FTIR spectroscopy results. In the final analysis, it was obvious that the implementation of the optical method is considered a promising tool to monitor the faulted oil and distinguish between the electrical fault and the thermal one making the FTIR spectroscopy a superior alternative for DGA.

关键词： Temperature sensors Temperature measurement Spectroscopy Oils Oil insulation Dissolved gas analysis Aging

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Minimization of p-Laplacian via the finite element method in MATLAB

arXiv

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arXiv 2021年

作者： Matonoha, Ctirad Moskovka, Alexej Valdman, Jan The Czech Academy of Sciences Institute of Computer Science Pod Vodárenskou věží 2 Prague 818207 Czech Republic Faculty of Applied Sciences Department of Mathematics University of West Bohemia Technická 8 Pilsen30614 Czech Republic The Czech Academy of Sciences Institute of Information Theory and Automation Pod Vodárenskou věží 4 Prague 818208 Czech Republic Department of Applied Informatics Faculty of Science University of South Bohemia Branišovská 31 České Budějovice37005 Czech Republic

Minimization of energy functionals is based on a discretization by the finite element method and optimization by the trust-region method. A key tool to an efficient implementation is a local evaluation of the approximated gradients together with sparsity of the resulting Hessian matrix. Vectorization concepts are explained for the p-Laplace problem in one and two space-dimensions. Copyright © 2021, The Authors. All rights reserved.

关键词： MATLAB

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Digital Twin Definition for Detecting Abnormal Perspiration Patterns in High-Stress Professions

Digital Twin Definition for Detecting Abnormal Perspiration ...

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Roedunet International Conference (RoEduNet)

作者： Cristian Vizitiu Ioan Turcin Kevin Alexander Dominey Selver Softic Adrian-Cătălin Dinculescu Vlad I. Bocăneţ Cosmin Dugan Sorin-Aurel Moraru The Space Applications and Technologies Laboratory Institute of Space Science -Subsidiary of INFLPR Magurele Romania Department of Automatics and Information Technology Faculty of Electrical Engineering and Computer Science Transilvania University of Brasov Brasov Romania Department Automation Technology CAMPUS 02 University of Applied Sciences Graz Austria Department IT & Business Informatics CAMPUS 02 University of Applied Sciences Graz Austria Department of Manufacturing Engineering Faculty of Industrial Engineering Robotics and Production Management Technical University of Cluj-Napoca Cluj-Napoca Romania Bucharest University Emergency Hospital Bucharest Romania

ISBN: (数字)9798331540388

ISBN: (纸本)9798331540395

Perspiration is a physiological response in high-stress situations, that also plays a key role in thermoregulation and stress management. Understanding perspiration patterns is used for assessing physiological responses and optimizing human performance especially in professions such as emergency medical services and military operations, as well as for individuals exposed to Isolated Confined Extreme (ICE) environments such as astronauts and space analog mission participants. This paper defines a Digital Twin (DT) model, that will be integrated with an existing physical sweat simulator module (SSM) prototype. Its goal is to simulate human perspiration under high-stress conditions by integrating environmental, physiological, and psychological data. The system architecture is developed via Model-Based Systems Engineering (MBSE). The scope of the designed virtual model is to accurately reflect physical perspiration, detect abnormal perspiration patterns, and generate recommendations regarding stress countermeasures. The goal is to influence the behavioral and/or physiological state of the physical twin, thereby creating a dynamic, responsive system. Machine learning (ML) models will be used to identify patterns in the environmental, physiological, and psychological inputs and predict sweat volume, chemical composition, and regional sweat distributions across the body. ML will also be used to detect abnormal perspiration patterns based on input data. The application of generative AI for creating test data from simulation templates is anticipated to facilitate the comparative analysis of two to three distinct profiles, such as astronauts, soldiers, and paramedics or firefighters, using simulated values. The SSM, with its integrated sensors, will serve the dual purpose of validating the model and providing realistic physical simulation.

关键词： Adaptation models Generative AI Psychology Human factors Machine learning Predictive models Physiology Digital twins Modeling Biomedical monitoring

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